NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction
Steel structure buildings are widely favored for their environmental friendliness and exceptional performance. However, traditional methods of quality risk factor assessment are limited by subjectivity and inefficiency. To address this, our study introduces a natural language processing (NLP) model...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/14/11/3493 |
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| author | Yuhong Zhao Jingyi Zhang Enyi Mu |
| author_facet | Yuhong Zhao Jingyi Zhang Enyi Mu |
| author_sort | Yuhong Zhao |
| collection | DOAJ |
| description | Steel structure buildings are widely favored for their environmental friendliness and exceptional performance. However, traditional methods of quality risk factor assessment are limited by subjectivity and inefficiency. To address this, our study introduces a natural language processing (NLP) model algorithm to identify a list of quality risk factors. Initially, quality acceptance and accident reports of 403 prefabricated steel structure buildings were processed and preprocessed. Using NLP algorithms, texts were successfully clustered into themes, yielding five thematic results, each containing ten effective keywords. Through in-depth analysis of these themes, labels for each theme were identified, and a list of quality risk factors was compiled. This research not only provides a new method of indexing quality risk for steel structures but also significantly enhances the sector’s digitization and intelligence. This advancement is crucial for the development of the steel structure building industry, aiding in more efficient and accurate identification and management of potential quality risks. |
| format | Article |
| id | doaj-art-673941ebdadf4615ad98dc65a6c24d72 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-673941ebdadf4615ad98dc65a6c24d722025-08-20T02:07:59ZengMDPI AGBuildings2075-53092024-10-011411349310.3390/buildings14113493NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure ConstructionYuhong Zhao0Jingyi Zhang1Enyi Mu2College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Urban and Environmental Sciences, Urban and Economic Geography, Peking University, Beijing 100871, ChinaSteel structure buildings are widely favored for their environmental friendliness and exceptional performance. However, traditional methods of quality risk factor assessment are limited by subjectivity and inefficiency. To address this, our study introduces a natural language processing (NLP) model algorithm to identify a list of quality risk factors. Initially, quality acceptance and accident reports of 403 prefabricated steel structure buildings were processed and preprocessed. Using NLP algorithms, texts were successfully clustered into themes, yielding five thematic results, each containing ten effective keywords. Through in-depth analysis of these themes, labels for each theme were identified, and a list of quality risk factors was compiled. This research not only provides a new method of indexing quality risk for steel structures but also significantly enhances the sector’s digitization and intelligence. This advancement is crucial for the development of the steel structure building industry, aiding in more efficient and accurate identification and management of potential quality risks.https://www.mdpi.com/2075-5309/14/11/3493prefabricated steel structurequality risk factorsnatural language processing |
| spellingShingle | Yuhong Zhao Jingyi Zhang Enyi Mu NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction Buildings prefabricated steel structure quality risk factors natural language processing |
| title | NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction |
| title_full | NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction |
| title_fullStr | NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction |
| title_full_unstemmed | NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction |
| title_short | NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction |
| title_sort | nlp based approach for identifying quality risk factors in steel structure construction |
| topic | prefabricated steel structure quality risk factors natural language processing |
| url | https://www.mdpi.com/2075-5309/14/11/3493 |
| work_keys_str_mv | AT yuhongzhao nlpbasedapproachforidentifyingqualityriskfactorsinsteelstructureconstruction AT jingyizhang nlpbasedapproachforidentifyingqualityriskfactorsinsteelstructureconstruction AT enyimu nlpbasedapproachforidentifyingqualityriskfactorsinsteelstructureconstruction |